Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Scam losses in the Asia-Pacific region continue to escalate, positioning the area as a global testing ground for phishing innovations. Singapore’s recent implementation of the Shared Responsibility Framework (SRF) serves as a critical alert for enterprises: both regulators and customers are demanding heightened vigilance.

Log management becomes more challenging as both log volume and diversity rapidly grow. Yet many companies still rely on legacy log management and SIEM solutions that aren’t designed to cost-effectively or securely handle the large scale of logs today coming from sources both in the cloud and on premises.

Risk assessment requires context. One of the primary challenges with protecting cloud environments is understanding how certain activity can lead to risk. Risky behavior can be categorized as any activity or action that increases the likelihood of an attack in your cloud environment. While certain activity may not be malicious on its own, it can expand an environment’s attack surface or indicate post-compromise behavior.

John Quinsey (also known as “JQ”) is a regional director at Torq with 25 years in software and SaaS sales, solving business problems with disruptive technologies. He firmly believes AI has the power to revolutionize modern security operations. Just five years ago, the average dwell time for a ransomware attack was seven months. Today, it’s five days and shrinking.

America's critical infrastructure faces an unprecedented threat, and it's already installed in hundreds of locations across the nation. Recent investigations confirm that Chinese-manufactured power transformers—essential components of our electrical grid—have been discovered with hidden capabilities allowing remote shutdown from overseas. In summer 2019, federal authorities seized a massive 500,000-pound Chinese transformer at the Port of Houston.

Applying robust security measures to automated software development is no longer a luxury but a necessity. CrowdStrike data scientists have developed an AI-driven, multi-agent proof of concept that leverages Red Teaming capabilities to identify vulnerabilities in code developed by AI agents. While it is still in the research stage, our work shows this advanced AI technology has the potential to revolutionize software security.